coderabbit_skill

This skill helps you perform automated code reviews with CodeRabbit, identifying race conditions, leaks, and security issues before commits.

Python

13

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill basher83/lunar-claude --skill coderabbit

SKILL.md4.5 KB

Overview

This skill provides AI-powered code review using the CodeRabbit CLI with optional GitHub integration and Claude Code orchestration. It helps catch race conditions, memory leaks, security vulnerabilities, and other defects before commits or in pull requests. Use it locally or as part of autonomous review-and-fix workflows driven by Claude Code.

How this skill works

Run the CodeRabbit CLI to analyze uncommitted changes, compare branches, or perform full repository scans. Use flags like --prompt-only for AI-optimized output, --plain for machine-friendly text, and --type uncommitted to limit scope. Integrate with Claude Code by running CodeRabbit in the background so agents can read its prompts and apply fixes, or use @coderabbitai commands on GitHub to trigger automated PR reviews and summaries.

When to use it

Before committing local changes: run coderabbit or coderabbit --type uncommitted
As part of an autonomous Claude Code workflow to implement and verify features
During pull request reviews using @coderabbitai commands for incremental or full reviews
When configuring repository review behavior via a .coderabbit.yaml file
To generate docstrings or unit tests using Pro @coderabbitai commands

Best practices

Run CodeRabbit in the background with --prompt-only when using Claude Code so agents can iterate autonomously
Prioritize fixing critical issues first and ignore nits on the first pass; limit to two review-fix iterations
Keep a concise .coderabbit.yaml to control tone, profiles, and auto-review rules (ignore wip/draft titles)
Authenticate once per Claude Code session with coderabbit auth login and verify auth status when troubleshooting
Use plain or prompt-only output for CI or agent consumption to avoid interactive UI artifacts

Example use cases

Local pre-commit scan: developer runs coderabbit --type uncommitted to catch regressions before pushing
Claude Code autonomous loop: prompt the agent to implement a feature and run coderabbit --prompt-only in background to detect and fix issues
GitHub PR automation: add @coderabbitai review in PR comments for incremental feedback or @coderabbitai full review for a fresh analysis
CI pipeline step: run coderabbit --plain to produce machine-readable findings and fail builds on high-severity issues
Repository configuration: add .coderabbit.yaml to set review profile, auto-review rules, and knowledge base inclusion

FAQ

CodeRabbit reviews typically run 7–30+ minutes depending on repo size and enabled analyzers; run it in background and check periodically.

What CLI flags are essential for agent workflows?

Use --prompt-only for AI-optimized output and --plain for machine-friendly logs; combine --type uncommitted to limit scope.

How do I disable reviews for a specific PR?

Add @coderabbitai ignore to the PR description to prevent automatic reviews on that PR.